Volume 16, Number 3
From Insight to Impact: The Evolution of Data-Driven Decision Making in the Age of AI
Authors
Paras Doshi, Opendoor, USA
Abstract
This paper presents a comprehensive critical review of contemporary technical solutions and approaches to artificial intelligence-based decision making systems in executive strategy scenarios. Drawing on systematic review of deployed technical solutions, algorithmic approaches, and empirical studies, this survey classifies and delineates the current decision support technology landscape and outlines future directions. Drawing on extensive review of current research and business application, the paper explains how AI technologies are redefining strategic decision frameworks in various industries. This survey contrasts machine learning algorithms, decision support architectures, and human-AI hybrid systems on various performance dimensions in a systematic way. The research points out prevailing trends such as the growth of augmented intelligence systems, the integration of predictive analytics with human intelligence, and new paradigms on ethics. Simulation results indicate that hybrid decision models that combine algorithmic precision with human intuition achieve 23% higher decision quality scores compared to algorithmic alone or human-alone approaches. The review outlines that effective executive strategy in the AI age calls for systematic organizational change involving technological infrastructure, leadership capability, and cultural adjustment.
Keywords
Data-driven decision making, artificial intelligence, executive strategy, predictive analytics, algorithmic governance, augmented intelligence, strategic leadership, digital transformation, decision support systems survey, technical comparison